DMAI-2023: International Workshop on Data Mining and AI Stavropol, Russia, December 1-2, 2023 |
| Conference website | http://ncfu.ru |
| Submission link | https://easychair.org/conferences/?conf=dmai2023 |
Scientists from the North Caucasus Federal University (Russia) have experience in successfully conducting scientific events in the field of Computer Science and are invited to participate in the DMAI-2023: International Workshop on Data Mining and Al.
The purpose of the DMAI-2023 is to bring together researchers, engineers and practitioners in the domain of interest from around the world. DMAI-2021 invites researchers, industries, practitioners, students, lecturers from Information and Communications Technologies, Science and Engineering fields to contribute their papers and works to be presented at our forthcoming workshop.
The aim of the DMAI-2023 workshop is to bring together computer scientists with interests in this field to present recent innovations, find topics of common interest and to stimulate further development of new approaches that greatly simplify the work of a data analyst when performing data analytics, or when employing machine learning algorithms, over Big Data.
Submission Guidelines
Submitted papers should report original, previously unpublished research results, experimental or theoretical. Papers submitted to the Workshop should meet these criteria. Papers not have been submitted or accepted for publication in any other workshop, conference or journal. All paper submissions will be peer reviewed and evaluated based on originality, technical and/or research depth, accuracy and relevance to conference theme and topics.
- The official language is English.
- The page limit is 6-10 pages.
- The final version of the paper must be with MS Word using the template
- You need to save the file of the paper in PDF format for upload.
- The camera-ready version for the proceedings must be upload in MS Word format.
- Papers will be peer reviewed.
- No show papers will be excluded from indexation.
List of Topics
- Advanced database and Web applications
- Advanced classification, clustering and forecasting
- AI model training
- Big data
- Crowdsourcing
- Cloud data management
- Competitive analysis of mining algorithms
- Data augmentation
- Data for machine learning
- Data provenance, cleaning, curation
- Data quality and credibility
- Data-related usability and HCI
- Data semantics, integration and metadata
- Data mining in education
- Data mining visualization
- Image recognition and interpretations Information extraction and summarization
- Interactive data mining Internet of Things mining
- Machine learning for database
- Mobile data mining
- Real-time data management
- Recommendation systems
- Search and information retrieval
- Semantic web and knowledge management
- Social network analytics
- Statistical and scientific data mining
- Text, video, multimedia data mining
Program Committee
Co-chairs
- Maria Lapina, North-Caucasus Federal University, Stavropol, Russia
Program Committee members
- Anastasia Arkhipova, Novosibirsk State Technical University, Novosibirsk, Russia
- Tatyana Avdienko, Novosibirsk State Technical University, Novosibirsk, Russia
- Maxim Bakaev, Novosibirsk State Technical University, Novosibirsk, Russia
- Elena Basan, Southern Federal University, Taganrog, Russia
- Anna Korobko, Siberian Federal University, Krasnoyarsk, Russia
- Evgeny Kostyuchenko, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
- Dmitrii Orel, North-Caucasus Federal University, Stavropol, Russia
- Ekaterina Pakulova, Southern Federal University, Rostov-on-Don, Russia
- Denis Parfenov, Orenburg State University, Orenburg, Russia
- Tatyana Penkova, Siberian Federal University, Krasnoyarsk, Russia
- Mohammad Sajid, Department of Computer Science, Aligarh Muslim University, Aligarh (UP) India
- Suhel Mustajab, Aligarh Muslim University, Aligarh (UP) India
- Anastasia Timofeeva, Novosibirsk State Technical University, Novosibirsk, Russia
- Vyacheslav Zolotarev, Siberian State University of Science and Technology, Krasnoyarsk, (Russia)
Invited keynote speakers
DMAI-2023 will have invited keynote speakers, who are internationally recognized experts in their areas.
Venue
The workshop will be held in a mixed format in Stavropol (Russia) at the North Caucasus Federal University and in an online format. This will allow researchers to participate in scientific events and share their research during the pandemic. Participants will be able to discuss the presented research.
Publication
DMAI-2023 proceedings will be published in an electronic publication indexed in the Scopus or WoS database
There no registration fee
We have experience in conducting conferences and workshops. You can view the papers of scientific events (2014-2022) that were successfully organized using the links.
Contact
All questions about submissions should be emailed to Dr. Maria Lapina (mlapina@ncfu.ru)